Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
fountain | 42 | |
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structure | 39.2 | |
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bridge | 22.6 | |
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architecture | 20.7 | |
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city | 19.9 | |
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building | 19.1 | |
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light | 16 | |
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tower | 15.2 | |
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night | 15.1 | |
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sky | 14.7 | |
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old | 14.6 | |
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negative | 14.6 | |
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landmark | 14.4 | |
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travel | 14.1 | |
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tourism | 13.2 | |
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construction | 12.8 | |
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water | 12.7 | |
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river | 12.4 | |
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black | 12.1 | |
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film | 11.9 | |
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history | 11.6 | |
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support | 10.7 | |
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modern | 10.5 | |
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steel | 9.7 | |
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pier | 9.4 | |
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famous | 9.3 | |
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radio telescope | 9.2 | |
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silhouette | 9.1 | |
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landscape | 8.9 | |
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equipment | 8.3 | |
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art | 8.1 | |
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new | 8.1 | |
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metal | 8 | |
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glass | 7.9 | |
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urban | 7.9 | |
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cityscape | 7.6 | |
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power | 7.5 | |
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dark | 7.5 | |
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device | 7.4 | |
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street | 7.4 | |
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astronomical telescope | 7.3 | |
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historic | 7.3 | |
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dirty | 7.2 | |
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summer | 7.1 | |
|
Google
created on 2022-06-04
Black | 89.7 | |
| ||
Rectangle | 86.2 | |
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Architecture | 85.1 | |
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Black-and-white | 84.4 | |
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Style | 83.8 | |
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Fixture | 82.3 | |
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Window | 82 | |
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Art | 81.8 | |
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Tints and shades | 77.3 | |
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Monochrome | 75.8 | |
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Monochrome photography | 75.4 | |
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Building | 74.2 | |
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Symmetry | 72.1 | |
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Darkness | 69.7 | |
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City | 68.8 | |
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Street | 62 | |
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Stock photography | 61.7 | |
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Cobblestone | 61.1 | |
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Electricity | 60.3 | |
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Still life photography | 59.9 | |
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Microsoft
created on 2022-06-04
text | 99.8 | |
| ||
black and white | 94 | |
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light | 84.1 | |
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building | 80.7 | |
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monochrome | 68.3 | |
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night | 56.4 | |
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city | 51 | |
|
Color Analysis
Feature analysis
Categories
Imagga
paintings art | 80.4% | |
| ||
streetview architecture | 16.2% | |
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cars vehicles | 1.9% | |
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Captions
Microsoft
created on 2022-06-04
a close up of a bridge | 35.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488913/660,824,47,11/full/0/native.jpg)
YORK
![](https://ids.lib.harvard.edu/ids/iiif/20488913/434,864,41,11/full/0/native.jpg)
Looking
![](https://ids.lib.harvard.edu/ids/iiif/20488913/434,864,79,11/full/0/native.jpg)
Looking North
![](https://ids.lib.harvard.edu/ids/iiif/20488913/483,865,30,6/full/0/native.jpg)
North
![](https://ids.lib.harvard.edu/ids/iiif/20488913/262,824,113,12/full/0/native.jpg)
MANHATTAN
![](https://ids.lib.harvard.edu/ids/iiif/20488913/393,823,90,14/full/0/native.jpg)
ELEVATED
![](https://ids.lib.harvard.edu/ids/iiif/20488913/262,821,445,17/full/0/native.jpg)
MANHATTAN ELEVATED RAILROAD-NEW YORK
![](https://ids.lib.harvard.edu/ids/iiif/20488913/498,821,156,17/full/0/native.jpg)
RAILROAD-NEW
![](https://ids.lib.harvard.edu/ids/iiif/20488913/518,845,17,7/full/0/native.jpg)
ST.
![](https://ids.lib.harvard.edu/ids/iiif/20488913/438,844,26,9/full/0/native.jpg)
AVE.
![](https://ids.lib.harvard.edu/ids/iiif/20488913/467,846,12,7/full/0/native.jpg)
AT
![](https://ids.lib.harvard.edu/ids/iiif/20488913/416,845,17,7/full/0/native.jpg)
9TH
![](https://ids.lib.harvard.edu/ids/iiif/20488913/416,844,119,9/full/0/native.jpg)
9TH AVE. AT 84TH ST.
![](https://ids.lib.harvard.edu/ids/iiif/20488913/483,844,30,9/full/0/native.jpg)
84TH
![](https://ids.lib.harvard.edu/ids/iiif/20488913/920,821,78,21/full/0/native.jpg)
39334
![](https://ids.lib.harvard.edu/ids/iiif/20488913/777,826,26,9/full/0/native.jpg)
don.
![](https://ids.lib.harvard.edu/ids/iiif/20488913/263,822,739,67/full/0/native.jpg)
MANHATTAN ELEVATED RAILROAD-NEW YORK
9TH AVE. AT 84TH ST.
Looking North
IRAL
39334
![](https://ids.lib.harvard.edu/ids/iiif/20488913/263,824,117,18/full/0/native.jpg)
MANHATTAN
![](https://ids.lib.harvard.edu/ids/iiif/20488913/396,825,90,16/full/0/native.jpg)
ELEVATED
![](https://ids.lib.harvard.edu/ids/iiif/20488913/588,825,16,15/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20488913/660,824,51,15/full/0/native.jpg)
YORK
![](https://ids.lib.harvard.edu/ids/iiif/20488913/415,845,23,13/full/0/native.jpg)
9TH
![](https://ids.lib.harvard.edu/ids/iiif/20488913/440,845,28,13/full/0/native.jpg)
AVE
![](https://ids.lib.harvard.edu/ids/iiif/20488913/485,845,32,13/full/0/native.jpg)
84TH
![](https://ids.lib.harvard.edu/ids/iiif/20488913/519,845,21,13/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20488913/533,845,8,13/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20488913/483,864,35,14/full/0/native.jpg)
North
![](https://ids.lib.harvard.edu/ids/iiif/20488913/463,880,28,8/full/0/native.jpg)
IRAL
![](https://ids.lib.harvard.edu/ids/iiif/20488913/938,825,64,19/full/0/native.jpg)
39334
![](https://ids.lib.harvard.edu/ids/iiif/20488913/500,825,89,15/full/0/native.jpg)
RAILROAD
![](https://ids.lib.harvard.edu/ids/iiif/20488913/612,824,42,16/full/0/native.jpg)
NEW
![](https://ids.lib.harvard.edu/ids/iiif/20488913/468,845,16,13/full/0/native.jpg)
AT
![](https://ids.lib.harvard.edu/ids/iiif/20488913/435,864,43,15/full/0/native.jpg)
Looking